Upload starVLA checkpoint stacking_cups_20261029_30hz_qwendd_qwen3vl2b_delta_joint_raw_h30_v512_3cam_2gpu_gb32_20k step 20000
Browse files- StarVLA/stacking_cups/stacking_cups_20261029_30hz_qwendd_qwen3vl2b_delta_joint_raw_h30_v512_3cam_2gpu_gb32_20k/checkpoints/steps_20000_pytorch_model.pt +3 -0
- StarVLA/stacking_cups/stacking_cups_20261029_30hz_qwendd_qwen3vl2b_delta_joint_raw_h30_v512_3cam_2gpu_gb32_20k/config.full.yaml +130 -0
- StarVLA/stacking_cups/stacking_cups_20261029_30hz_qwendd_qwen3vl2b_delta_joint_raw_h30_v512_3cam_2gpu_gb32_20k/config.yaml +111 -0
- StarVLA/stacking_cups/stacking_cups_20261029_30hz_qwendd_qwen3vl2b_delta_joint_raw_h30_v512_3cam_2gpu_gb32_20k/dataset_statistics.json +127 -0
- StarVLA/stacking_cups/stacking_cups_20261029_30hz_qwendd_qwen3vl2b_delta_joint_raw_h30_v512_3cam_2gpu_gb32_20k/summary.jsonl +7 -0
- StarVLA/stacking_cups/stacking_cups_20261029_30hz_qwendd_qwen3vl2b_delta_joint_raw_h30_v512_3cam_2gpu_gb32_20k/wall_time_ledger.json +39 -0
StarVLA/stacking_cups/stacking_cups_20261029_30hz_qwendd_qwen3vl2b_delta_joint_raw_h30_v512_3cam_2gpu_gb32_20k/checkpoints/steps_20000_pytorch_model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:9cef5bf94a13386b23bc5faa3cf44a0f81080dfc15138d5a020716c0dcdf24c1
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| 3 |
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size 5848235293
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StarVLA/stacking_cups/stacking_cups_20261029_30hz_qwendd_qwen3vl2b_delta_joint_raw_h30_v512_3cam_2gpu_gb32_20k/config.full.yaml
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run_id: stacking_cups_20261029_30hz_qwendd_qwen3vl2b_delta_joint_raw_h30_v512_3cam_2gpu_gb32_20k
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| 2 |
+
run_root_dir: /scratch/wangpc/DiscreteRTCv2/results/Checkpoints
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| 3 |
+
seed: 42
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| 4 |
+
wandb_entity: 401910710-university-of-california-berkeley
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| 5 |
+
wandb_project: starVLA_piper
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| 6 |
+
is_debug: false
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| 7 |
+
version_id: '0.21'
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| 8 |
+
framework:
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| 9 |
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name: QwenDiscreteDiffusion
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| 10 |
+
state_conditioning: instruction
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| 11 |
+
action_tokens:
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vocab_size: 512
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| 13 |
+
bounds_file: ./data/processed/FINAL/StateDeltaJoint/20261029_stacking_cups_30hz_cleanup_quantized_v512/quantizer.json
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| 14 |
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low:
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| 15 |
+
- -0.03489894585789374
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| 16 |
+
- -0.06613051891326904
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| 17 |
+
- -0.0454017615243559
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| 18 |
+
- -0.02577851340174675
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| 19 |
+
- -0.05229005217552185
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| 20 |
+
- -0.02900737151503563
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| 21 |
+
- 0.004999999888241291
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| 22 |
+
high:
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| 23 |
+
- 0.03759439289569855
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| 24 |
+
- 0.06691158803429191
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| 25 |
+
- 0.07543313503265381
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| 26 |
+
- 0.0319970144416418
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| 27 |
+
- 0.034463898024775765
|
| 28 |
+
- 0.01850149657529516
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| 29 |
+
- 0.5120000243186951
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| 30 |
+
qwenvl:
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| 31 |
+
base_vlm: ./playground/Pretrained_models/Qwen3-VL-2B-Instruct-Action
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| 32 |
+
attn_implementation: flash_attention_2
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| 33 |
+
vl_hidden_dim: 2048
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| 34 |
+
num_vl_layers: 28
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| 35 |
+
action_model:
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| 36 |
+
action_model_type: LayerwiseDD
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| 37 |
+
action_dim: 7
|
| 38 |
+
state_dim: 7
|
| 39 |
+
action_horizon: 30
|
| 40 |
+
repeated_diffusion_steps: 2
|
| 41 |
+
add_pos_embed: true
|
| 42 |
+
max_seq_len: 1024
|
| 43 |
+
num_target_vision_tokens: 32
|
| 44 |
+
representation: bin
|
| 45 |
+
num_bins: 512
|
| 46 |
+
action_low: -1.0
|
| 47 |
+
action_high: 1.0
|
| 48 |
+
num_inference_steps: 8
|
| 49 |
+
train_mask_schedule: cosine
|
| 50 |
+
decode_schedule: cosine
|
| 51 |
+
no_mask_token_prob: 0.0
|
| 52 |
+
l1_loss_weight: 0.0
|
| 53 |
+
use_simple_max: false
|
| 54 |
+
target_space: tokens
|
| 55 |
+
diffusion_model_cfg:
|
| 56 |
+
action_dit_hidden_dim: 1024
|
| 57 |
+
dropout: 0.2
|
| 58 |
+
final_dropout: true
|
| 59 |
+
interleave_self_attention: true
|
| 60 |
+
norm_type: ada_norm
|
| 61 |
+
positional_embeddings: null
|
| 62 |
+
attention_head_dim: 64
|
| 63 |
+
num_layers: 28
|
| 64 |
+
input_embedding_dim: 1024
|
| 65 |
+
cross_attention_dim: 1024
|
| 66 |
+
num_attention_heads: 16
|
| 67 |
+
output_dim: 512
|
| 68 |
+
future_action_window_size: 29
|
| 69 |
+
past_action_window_size: 0
|
| 70 |
+
datasets:
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| 71 |
+
vla_data:
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| 72 |
+
dataset_py: lerobot_datasets
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| 73 |
+
data_root_dir: ./data
|
| 74 |
+
data_mix: stacking_cups_20261029_30hz_delta_joint_raw_h30_v512
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| 75 |
+
tokens_dataset_path: ./data/processed/FINAL/StateDeltaJoint/20261029_stacking_cups_30hz_cleanup_quantized_v512
|
| 76 |
+
include_state: true
|
| 77 |
+
episode_split: train
|
| 78 |
+
action_type: delta_qpos
|
| 79 |
+
action_mode: abs
|
| 80 |
+
sequential_step_sampling: false
|
| 81 |
+
per_device_batch_size: 16
|
| 82 |
+
load_all_data_for_training: true
|
| 83 |
+
obs_image_size:
|
| 84 |
+
- 224
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| 85 |
+
- 224
|
| 86 |
+
delete_pause_frame: false
|
| 87 |
+
video_backend: torchvision_av
|
| 88 |
+
num_workers: 2
|
| 89 |
+
persistent_workers: true
|
| 90 |
+
prefetch_factor: 2
|
| 91 |
+
pin_memory: true
|
| 92 |
+
trainer:
|
| 93 |
+
pretrained_checkpoint: null
|
| 94 |
+
freeze_modules: qwen_vl_interface
|
| 95 |
+
max_train_steps: 20000
|
| 96 |
+
num_warmup_steps: 500
|
| 97 |
+
save_interval: 5000
|
| 98 |
+
eval_interval: 1000
|
| 99 |
+
repeated_diffusion_steps: 2
|
| 100 |
+
learning_rate:
|
| 101 |
+
base: 1.0e-05
|
| 102 |
+
qwen_vl_interface: 1.0e-06
|
| 103 |
+
action_model: 0.0001
|
| 104 |
+
project_layers: 0.0001
|
| 105 |
+
lr_scheduler_type: cosine_with_min_lr
|
| 106 |
+
scheduler_specific_kwargs:
|
| 107 |
+
min_lr: 1.0e-06
|
| 108 |
+
loss_scale:
|
| 109 |
+
vla: 1.0
|
| 110 |
+
vlm: 0.0
|
| 111 |
+
max_grad_norm: 1.0
|
| 112 |
+
weight_decay: 0.0
|
| 113 |
+
logging_frequency: 20
|
| 114 |
+
gradient_clipping: 1.0
|
| 115 |
+
gradient_accumulation_steps: 1
|
| 116 |
+
gradient_checkpointing: true
|
| 117 |
+
optimizer:
|
| 118 |
+
name: AdamW
|
| 119 |
+
betas:
|
| 120 |
+
- 0.9
|
| 121 |
+
- 0.95
|
| 122 |
+
eps: 1.0e-08
|
| 123 |
+
weight_decay: 1.0e-08
|
| 124 |
+
save_format: pt
|
| 125 |
+
is_resume: true
|
| 126 |
+
max_wall_time_hours: 60
|
| 127 |
+
wall_time_safety_minutes: 20
|
| 128 |
+
save_training_state: true
|
| 129 |
+
config_yaml: /scratch/wangpc/DiscreteRTCv2/examples/realRobots/Piper/train_files/starvla_qwendd_qwen3vl2b_stacking_cups_20261029_30hz_delta_joint_raw_h30_v512_3cam_2gpu_gb32_20k.yaml
|
| 130 |
+
output_dir: /scratch/wangpc/DiscreteRTCv2/results/Checkpoints/stacking_cups_20261029_30hz_qwendd_qwen3vl2b_delta_joint_raw_h30_v512_3cam_2gpu_gb32_20k
|
StarVLA/stacking_cups/stacking_cups_20261029_30hz_qwendd_qwen3vl2b_delta_joint_raw_h30_v512_3cam_2gpu_gb32_20k/config.yaml
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|
| 1 |
+
datasets:
|
| 2 |
+
vla_data:
|
| 3 |
+
action_mode: abs
|
| 4 |
+
data_mix: stacking_cups_20261029_30hz_delta_joint_raw_h30_v512
|
| 5 |
+
data_root_dir: ./data
|
| 6 |
+
dataset_py: lerobot_datasets
|
| 7 |
+
delete_pause_frame: false
|
| 8 |
+
episode_split: train
|
| 9 |
+
num_workers: 2
|
| 10 |
+
obs_image_size:
|
| 11 |
+
- 224
|
| 12 |
+
- 224
|
| 13 |
+
per_device_batch_size: 16
|
| 14 |
+
persistent_workers: true
|
| 15 |
+
pin_memory: true
|
| 16 |
+
prefetch_factor: 2
|
| 17 |
+
tokens_dataset_path: ./data/processed/FINAL/StateDeltaJoint/20261029_stacking_cups_30hz_cleanup_quantized_v512
|
| 18 |
+
video_backend: torchvision_av
|
| 19 |
+
framework:
|
| 20 |
+
action_model:
|
| 21 |
+
action_dim: 7
|
| 22 |
+
action_high: 1.0
|
| 23 |
+
action_horizon: 30
|
| 24 |
+
action_low: -1.0
|
| 25 |
+
add_pos_embed: true
|
| 26 |
+
decode_schedule: cosine
|
| 27 |
+
diffusion_model_cfg:
|
| 28 |
+
action_dit_hidden_dim: 1024
|
| 29 |
+
attention_head_dim: 64
|
| 30 |
+
cross_attention_dim: 1024
|
| 31 |
+
dropout: 0.2
|
| 32 |
+
final_dropout: true
|
| 33 |
+
input_embedding_dim: 1024
|
| 34 |
+
interleave_self_attention: true
|
| 35 |
+
norm_type: ada_norm
|
| 36 |
+
num_attention_heads: 16
|
| 37 |
+
num_layers: 28
|
| 38 |
+
output_dim: 512
|
| 39 |
+
positional_embeddings: null
|
| 40 |
+
l1_loss_weight: 0.0
|
| 41 |
+
max_seq_len: 1024
|
| 42 |
+
no_mask_token_prob: 0.0
|
| 43 |
+
num_bins: 512
|
| 44 |
+
num_inference_steps: 8
|
| 45 |
+
num_target_vision_tokens: 32
|
| 46 |
+
repeated_diffusion_steps: 2
|
| 47 |
+
representation: bin
|
| 48 |
+
state_dim: 7
|
| 49 |
+
target_space: tokens
|
| 50 |
+
train_mask_schedule: cosine
|
| 51 |
+
use_simple_max: false
|
| 52 |
+
action_tokens:
|
| 53 |
+
bounds_file: ./data/processed/FINAL/StateDeltaJoint/20261029_stacking_cups_30hz_cleanup_quantized_v512/quantizer.json
|
| 54 |
+
high:
|
| 55 |
+
- 0.03759439289569855
|
| 56 |
+
- 0.06691158803429191
|
| 57 |
+
- 0.07543313503265381
|
| 58 |
+
- 0.0319970144416418
|
| 59 |
+
- 0.034463898024775765
|
| 60 |
+
- 0.01850149657529516
|
| 61 |
+
- 0.5120000243186951
|
| 62 |
+
low:
|
| 63 |
+
- -0.03489894585789374
|
| 64 |
+
- -0.06613051891326904
|
| 65 |
+
- -0.0454017615243559
|
| 66 |
+
- -0.02577851340174675
|
| 67 |
+
- -0.05229005217552185
|
| 68 |
+
- -0.02900737151503563
|
| 69 |
+
- 0.004999999888241291
|
| 70 |
+
vocab_size: 512
|
| 71 |
+
name: QwenDiscreteDiffusion
|
| 72 |
+
qwenvl:
|
| 73 |
+
attn_implementation: flash_attention_2
|
| 74 |
+
base_vlm: ./playground/Pretrained_models/Qwen3-VL-2B-Instruct-Action
|
| 75 |
+
num_vl_layers: 28
|
| 76 |
+
vl_hidden_dim: 2048
|
| 77 |
+
state_conditioning: instruction
|
| 78 |
+
output_dir: /scratch/wangpc/DiscreteRTCv2/results/Checkpoints/stacking_cups_20261029_30hz_qwendd_qwen3vl2b_delta_joint_raw_h30_v512_3cam_2gpu_gb32_20k
|
| 79 |
+
run_id: stacking_cups_20261029_30hz_qwendd_qwen3vl2b_delta_joint_raw_h30_v512_3cam_2gpu_gb32_20k
|
| 80 |
+
run_root_dir: /scratch/wangpc/DiscreteRTCv2/results/Checkpoints
|
| 81 |
+
seed: 42
|
| 82 |
+
trainer:
|
| 83 |
+
eval_interval: 1000
|
| 84 |
+
freeze_modules: qwen_vl_interface
|
| 85 |
+
gradient_clipping: 1.0
|
| 86 |
+
is_resume: true
|
| 87 |
+
learning_rate:
|
| 88 |
+
action_model: 0.0001
|
| 89 |
+
base: 1.0e-05
|
| 90 |
+
project_layers: 0.0001
|
| 91 |
+
qwen_vl_interface: 1.0e-06
|
| 92 |
+
logging_frequency: 20
|
| 93 |
+
lr_scheduler_type: cosine_with_min_lr
|
| 94 |
+
max_train_steps: 20000
|
| 95 |
+
max_wall_time_hours: 60
|
| 96 |
+
num_warmup_steps: 500
|
| 97 |
+
optimizer:
|
| 98 |
+
betas:
|
| 99 |
+
- 0.9
|
| 100 |
+
- 0.95
|
| 101 |
+
eps: 1.0e-08
|
| 102 |
+
weight_decay: 1.0e-08
|
| 103 |
+
pretrained_checkpoint: null
|
| 104 |
+
save_format: pt
|
| 105 |
+
save_interval: 5000
|
| 106 |
+
save_training_state: true
|
| 107 |
+
scheduler_specific_kwargs:
|
| 108 |
+
min_lr: 1.0e-06
|
| 109 |
+
wall_time_safety_minutes: 20
|
| 110 |
+
wandb_entity: 401910710-university-of-california-berkeley
|
| 111 |
+
wandb_project: starVLA_piper
|
StarVLA/stacking_cups/stacking_cups_20261029_30hz_qwendd_qwen3vl2b_delta_joint_raw_h30_v512_3cam_2gpu_gb32_20k/dataset_statistics.json
ADDED
|
@@ -0,0 +1,127 @@
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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| 5 |
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| 63 |
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|
| 64 |
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| 65 |
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|
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|
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|
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|
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|
StarVLA/stacking_cups/stacking_cups_20261029_30hz_qwendd_qwen3vl2b_delta_joint_raw_h30_v512_3cam_2gpu_gb32_20k/summary.jsonl
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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{"steps": 626}
|
| 2 |
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{"steps": 1817}
|
| 3 |
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{"steps": 5000}
|
| 4 |
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{"steps": 10000}
|
| 5 |
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{"steps": 10000}
|
| 6 |
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{"steps": 15000}
|
| 7 |
+
{"steps": 20000}
|
StarVLA/stacking_cups/stacking_cups_20261029_30hz_qwendd_qwen3vl2b_delta_joint_raw_h30_v512_3cam_2gpu_gb32_20k/wall_time_ledger.json
ADDED
|
@@ -0,0 +1,39 @@
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|
|
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
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|
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| 14 |
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| 20 |
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|
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|
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|
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|
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],
|
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"total_elapsed_seconds": 59026.0
|
| 39 |
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}
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